To improve the defaults of classical SVD in image processing

a construction method of eight channel multi-resolution singular value decomposition of matrix (MSVD) is presented.An image fusion method based on this MSVD is proposed.Firstly

based on the principle of classical SVD and blocking algorithm

a multi-resolution analysis of eight-channel SVD of matrix is constructed.Each image involved in the fusion are decomposed into one approximation and seven detail images with different resolution by the eight channel multi-resolution singular value decomposition.Secondly

combined with reconstruction algorithm of MSVD

the frame of image fusion is given.The different frequency of original images can be shown in multi-resolution form.The low-frequency sub-image is fused by using an edge enhancement method of mathematical morphological gradient.For the seven high-frequency sub-images of each level

the energy of each image patch over 33 window in the high-frequency sub-images is computed as activity measurement.The center pixel of the 33 window in which the energy is bigger is selected as the new pixel of the fused result images.Finally

the performance of the result image is evaluated using objective numerical and graphics indices.The experimental results show that the proposed method has good visual effect and has no blocking-artifact.When compared with the fusion method based on DWT

LWT

Curvelet and Contourlet

the proposed fusion method has been observed to have higher definition.